UseScraper MCP Server

The UseScraper MCP Server bridges the gap between AI assistants and dynamic web content by offering a lightweight, TypeScript‑based scraping service powered by the UseScraper API. In many AI workflows, a model’s knowledge is static and confined to its training data; real‑time information from the web is essential for tasks such as market analysis, competitive intelligence, or content generation. This server resolves that limitation by allowing an assistant to request up‑to‑date page data directly through a single, well‑defined tool.

At its core the server exposes one tool: . A developer can instruct an assistant to fetch a URL and receive the page’s content in one of three formats—plain text, raw HTML, or Markdown. The tool also supports optional parameters that give fine‑grained control: an flag to bypass bot detection, and a custom extraction object that lets users target specific DOM elements or structured data. By packaging these options into a single, stateless call, the server keeps the MCP contract simple while delivering powerful scraping capabilities.

For developers building AI‑powered applications, this server is a plug‑in that extends the assistant’s reach without compromising security or performance. Because it communicates over standard MCP stdio streams, it can be launched from any environment that supports Node.js, making integration into existing tooling pipelines straightforward. The server’s configuration schema is intentionally minimal—only an API key and executable path are required—so it can be dropped into a Claude Desktop or any other MCP‑compatible client with just a few lines of JSON.

Typical use cases include:

• Real‑time news summarization – an assistant pulls the latest article text, converts it to Markdown, and feeds it into a summarization model.
• Competitive product monitoring – the tool extracts pricing tables or feature lists from competitor sites for automated comparison reports.
• Content enrichment – a content‑creation workflow can scrape reference pages and embed structured snippets directly into generated documents.
• Data‑driven research – researchers can fetch tables or datasets from web pages, then pass the extracted JSON to analytical models.

What sets this MCP server apart is its focus on reliability and ease of use. By delegating the heavy lifting to UseScraper’s robust API, the server sidesteps common scraping pitfalls such as CAPTCHA challenges or rate limits. The optional proxy flag further enhances resilience in environments with strict bot detection. Moreover, the server’s single‑tool design keeps the MCP interface uncluttered, enabling developers to reason about tool usage without juggling multiple endpoints.

In summary, the UseScraper MCP Server equips AI assistants with real‑time web access in a secure, developer‑friendly manner. It turns static models into dynamic agents capable of fetching, formatting, and filtering live content—an essential capability for modern AI applications that need to stay current with the ever‑changing web.